What is Keyword Density Analyzer?

Keyword Density Analyzer counts every word in your text and calculates the percentage each keyword appears relative to the total word count. SEO writers use it to check keyword distribution and avoid over-stuffing.

Beyond single words, the analyzer counts two-, three-, and four-word phrases (bigrams, trigrams, and 4-grams), filters stop words in your chosen language, and lets you add custom words to exclude plus set a minimum word length and occurrence count. Each row shows the rank, term, raw frequency, density percentage, and a Good / Low / High SEO badge so over-stuffed terms jump out. Track up to three focus keywords at once, sort by any column, and export the full table as CSV.

How to use

1. Paste or type your article, blog post, or any text content into the input area.
2. Review the keyword frequency table sorted by occurrence count, with density percentages for each word.
3. Filter results by minimum word length or occurrence count to focus on meaningful keywords rather than common stop words.

When to use

• Confirming a blog post hits 1–2% density for its main keyword before publishing.
• Spotting filler words you're leaning on too heavily in a draft, like 'really' or 'actually'.
• Auditing a competitor's article to see which phrases dominate their on-page SEO.

Result

You've written a 1,500-word blog post about 'sustainable gardening.' Check that your target keyword appears at 1-2% density (15-30 times) and identify unintentional over-use of filler words.

FAQ

What is the ideal keyword density for SEO?

Around 1–2% for the main keyword in a long-form article is a safe range. Anything past 3% looks like over-stuffing to modern search engines. There's no exact number Google publishes — natural placement matters more than hitting a target.

How are stop words decided?

The default list covers common words like 'the', 'and', 'is', 'of', 'to' that appear everywhere and rarely signal topic. Switch the stop-word language to match your text, add your own words to exclude (brand names, jargon), or toggle the filter off entirely when you want raw frequency stats.

Why look at 2-, 3-, and 4-word phrases?

Single-word density misses long-tail intent. A paragraph about 'electric car charging' might show 'electric' at 1.5% but 'electric car charging' at 0.8% — and the phrase is what actually matches search queries. The 4-word tab catches even longer patterns like 'best electric car charging' that signal you're aiming at a specific niche.

Does it work for non-English text?

Yes. Word counting works on any text the Unicode word-boundary rules can split — Spanish, German, Arabic, Chinese, Japanese, and more. Pick the matching stop-word language so common filler words are removed correctly, or turn the filter off if your language isn't listed.

How do I export the results?

Click Download CSV under the table to get a file with rank, term, count, and density columns. The CSV opens in Excel, Google Sheets, or any text editor, and respects whatever filters and sort order you set in the UI.

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